-
Notifications
You must be signed in to change notification settings - Fork 451
/
series.go
91 lines (76 loc) · 2.86 KB
/
series.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
// Copyright (c) 2018 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
package block
import (
"github.com/m3db/m3/src/query/ts"
)
// Series is a single series within a block
type Series struct {
values []float64
Meta SeriesMeta
}
// NewSeries creates a new series
func NewSeries(values []float64, meta SeriesMeta) Series {
return Series{values: values, Meta: meta}
}
// ValueAtStep returns the datapoint value at a step index
func (s Series) ValueAtStep(idx int) float64 {
return s.values[idx]
}
// Values returns the internal values slice
func (s Series) Values() []float64 {
return s.values
}
// Len returns the number of datapoints in the series
func (s Series) Len() int {
return len(s.values)
}
// UnconsolidatedSeries is the series with raw datapoints
type UnconsolidatedSeries struct {
datapoints []ts.Datapoints
Meta SeriesMeta
}
// NewUnconsolidatedSeries creates a new series with raw datapoints
func NewUnconsolidatedSeries(datapoints []ts.Datapoints, meta SeriesMeta) UnconsolidatedSeries {
return UnconsolidatedSeries{datapoints: datapoints, Meta: meta}
}
// DatapointsAtStep returns the raw datapoints at a step index
func (s UnconsolidatedSeries) DatapointsAtStep(idx int) ts.Datapoints {
if idx < 0 || idx >= len(s.datapoints) {
return nil
}
return s.datapoints[idx]
}
// Datapoints returns the internal datapoints slice
func (s UnconsolidatedSeries) Datapoints() []ts.Datapoints {
return s.datapoints
}
// Len returns the number of datapoints slices in the series
func (s UnconsolidatedSeries) Len() int {
return len(s.datapoints)
}
// Consolidated consolidates the series
func (s UnconsolidatedSeries) Consolidated(consolidationFunc ConsolidationFunc) Series {
values := make([]float64, len(s.datapoints))
for i, vals := range s.datapoints {
values[i] = consolidationFunc(vals)
}
return NewSeries(values, s.Meta)
}